Open AccessAn Improved Two Independent-Samples Randomization Test for Single-Case AB-Type Intervention Designs: A 20-Year Journey
Author(s) -
Joel R. Levin,
John M. Ferron,
Boris Gafurov
Publication year - 2020
Publication title -
journal of modern applied statistical methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.169
H-Index - 28
ISSN - 1538-9472
DOI - 10.22237/jmasm/1556670480
Subject(s) - type i and type ii errors , randomization , mathematics , statistics , test (biology) , sample size determination , restricted randomization , extension (predicate logic) , contrast (vision) , randomized controlled trial , medicine , computer science , artificial intelligence , surgery , paleontology , biology , programming language
Detailed is a 20-year arduous journey to develop a statistically viable two-phase (AB) single-case two independent-samples randomization test procedure. The test is designed to compare the effectiveness of two different interventions that are randomly assigned to cases. In contrast to the unsatisfactory simulation results produced by an earlier proposed randomization test, the present test consistently exhibited acceptable Type I error control under various design and effect-type configurations, while at the same time possessing adequate power to detect moderately sized intervention-difference effects. Selected issues, applications, and a multiple-baseline extension of the two-sample test are discussed.